Abstract
In this chapter we will look at some special hypothesis tests. These tests have found widespread applications and are used by almost everyone that need to process statistical data. The tests we consider are: A test for binomial variables, the t-test for expected value, the t-test for comparison of two populations, Wilcoxons’ distribution free tests, the U test, and the chi-square tests. The tests are presented in terms of recipes, i.e., step by step explanations on how to execute the test and how to interpret the outcomes. As we focus applications, we make no attempt to explain in detail why these tests work. They are based on quite lengthy mathematical derivations, but these details are omitted.
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Ubøe, J. (2017). Commonly Used Tests. In: Introductory Statistics for Business and Economics. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-70936-9_10
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DOI: https://doi.org/10.1007/978-3-319-70936-9_10
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70935-2
Online ISBN: 978-3-319-70936-9
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